Run
8617959

Run 8617959

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 05-12-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.glmnet(17)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(17)_alpha0.589853577315807
mlr.classif.glmnet(17)_s0.01
mlr.classif.glmnet(17)_lambda0.00765176682842255
mlr.classif.glmnet(17)_openml.seed1
mlr.classif.glmnet(17)_openml.kindMersenne-Twister
mlr.classif.glmnet(17)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6949
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.729
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4928
Cross-validation details (10-fold Crossvalidation)
KB relative information score
180.2551
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3482
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
556
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8317
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7464
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7464
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6964
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4179
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8358
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1219.4148
UserCPU time millis
0.19
UserCPU time millis testing
0.098
UserCPU time millis training
0.092